Real-Time Mobile Device-Assisted Chest Compression During Cardiopulmonary Resuscitation.

Area of Science:

• Emergency Medicine
• Medical Technology
• Cardiovascular Research

Background:

• High-quality cardiopulmonary resuscitation (CPR) is critical for cardiac arrest survival.
• Improving CPR quality at the point of care can enhance resuscitation outcomes.
• Current methods for real-time CPR feedback may lack scalability or cost-effectiveness.

Purpose of the Study:

• To evaluate the accuracy of mobile phone and smartwatch-based solutions in measuring CPR compression depth and rate.
• To determine if these devices can provide real-time feedback to improve CPR quality during simulated events.
• To assess the feasibility of using low-cost, scalable technology for CPR training and monitoring.

Main Methods:

• Fifty healthcare providers performed simulated CPR on a calibrated manikin.
• Participants wore both a smartphone and a smartwatch, receiving sequential real-time audiovisual feedback.
• Compression depth and rate were compared against the manikin's calibrated measurements.

Main Results:

• Both smartphone and smartwatch solutions demonstrated high accuracy in measuring compression depth (typical error <5 mm) and rate (Pearson's R = 0.93-0.97).
• Mobile device feedback did not significantly improve the percentage of CPR sessions meeting guideline-recommended depth and rate (60% vs 50%).
• Inadequate compression depth was the primary reason for sessions failing to meet guidelines.

Conclusions:

• Mobile device applications can accurately track CPR compression depth and rate in a simulated practice environment.
• These technologies align with resuscitation guidelines for CPR performance monitoring.
• Further research may be needed to optimize feedback mechanisms for improving overall CPR quality beyond mere measurement accuracy.